class_docstr: Environment for PTL training on a Ray cluster.
class_docstr_tok: ["Environment","for","PTL","training","on","a","Ray","cluster","."]
docstr: Detects the environment settings and returns `True` if they match.
docstr_tok: ["Detects","the","environment","settings","and","returns","`","True","`","if","they","match","."]
code: def detect() -> bool:
      """Detects the environment settings and returns `True` if they match."""
      return True
  
file_path: BigDL/python/nano/src/bigdl/nano/deps/ray/ray_envbase.py
imports: import os
  from pytorch_lightning.plugins.environments import ClusterEnvironment
  from pytorch_lightning.utilities import rank_zero_only
label_desc: Use image node_id 5 for calling the RayEnvironment obj's underlying member method code with example usage: obj.detect() and returns: True